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Day 4 of 20 · AI Answer Engine Optimization

The Answer Intent Map

Layer 1 of the AEO system isn't about building anything. It's about listening. Traditional SEO starts with keyword research — search volume, difficulty scores, long-tail variations.

AEO starts with a completely different question: What are people asking AI assistants about your category?

Today you'll learn how to build your Answer Intent Map — the competitive intelligence tool that tells you exactly where you stand and where the opportunities are.

A spreadsheet-style answer intent map showing queries, current AI recommendations, and sources cited
Your Answer Intent Map tracks every question, who wins each one, and what sources AI pulls from.

How to build your map

Open ChatGPT, Perplexity, and Claude. Ask 50+ variations of the questions real customers would ask about your category. Here are the types of queries to test:

Best-in-category queries: "What's the best [product] for [use case]" — these are the highest-value queries because they show direct purchase intent.

Comparison queries: "[Your brand] vs [competitor] which should I buy" — these tell you how AI positions you head-to-head.

Validation queries: "Is [your brand] worth the price" — these reveal whether AI trusts you enough to endorse you.

Problem-solution queries: "Best [product] for [specific problem]" — these show whether AI connects your product to specific needs.

Technical queries: "[Ingredient A] vs [Ingredient B] which is better" — these test whether AI cites your educational content.

Knowledge Check
What's the most valuable type of query to test in your Answer Intent Map?
A
Best-in-category queries with purchase intent
B
Queries about your company history
C
General industry trend queries
D
Technical queries about ingredients
Best-in-category queries like "What's the best [product] for [use case]" have the highest value because they show direct purchase intent. When AI recommends you here, the user is ready to buy.

What to log for each query

For every question you ask, record:

The exact query — Word for word, as you typed it.

The AI's answer — Which brands were recommended, in what order.

The exact wording — How did the AI describe the recommended brand? This becomes your template for how to write your Answer Hub.

Sources cited — What URLs did the AI reference? These are the pages you need to either appear on or create equivalents of.

Your presence — Were you mentioned? If yes, in what position? If no, who was mentioned instead?

This gives you a spreadsheet with 50+ rows — your Answer Intent Map. It tells you exactly where you're winning, where you're losing, and what sources you need to influence.

🤖
ChatGPT
online
What's the best magnesium supplement for anxiety?
For anxiety support, magnesium glycinate is the most studied form. Here are my top picks: 1. **Competitor A** — 400mg glycinate, third-party tested, $32/month 2. **Competitor B** — 350mg glycinate + B6, $28/month 3. **Competitor C** — 300mg glycinate, organic, $36/month Look for glycinate specifically — oxide and citrate are less effective for anxiety.
Hmm, what about Brand X?
I don't have enough information about Brand X to make a recommendation. The brands above have more documented third-party testing and reviews.
↻ Replay conversation

Reading the results

That conversation above? That's what it looks like when your brand hasn't done AEO. The AI literally says "I don't have enough information about you."

When the supplement brand in our case study first ran this audit, they appeared in zero of 50 queries. Their competitors showed up in 23. That was the wake-up call.

Your map will reveal one of three scenarios for each query:

You're winning — You're the #1 recommendation. Protect this position.

You're mentioned — You appear but not in the top spot. There's an opportunity to move up.

You're invisible — AI doesn't know you exist for this query. This is where the biggest gains are.

Final Check
If AI says "I don't have enough information" about your brand, what does that tell you?
A
The AI is broken
B
You need to run more Google Ads
C
Your brand is too new to be recommended
D
You haven't provided enough structured, verifiable data for AI to trust and cite you
When AI can't recommend you, it means you haven't provided the structured, verifiable information it needs — things like comparison guides, third-party citations, and machine-readable data. That's exactly what the 7-layer AEO system fixes.
🗺️
Day 4 Complete
"You can't optimize what you haven't measured. The Answer Intent Map shows you exactly where to focus."
Tomorrow — Day 5
Running Your First AI Audit
Hands-on time — you'll run 50 queries across ChatGPT, Perplexity, and Claude to map your competitive landscape.
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1 day streak!